This paper summarizes Professor LU Fang's clinical experience in treating systemic lupus erythematosus （SLE） based on the differentiation and treatment of heat-toxin and blood-stasis in the collaterals. SLE is generally characterized by deficiency in origin with excess in manifestation. The core pathogenesis is heat-toxin obstructing the collaterals. During the acute active stage， the predominant pattern is blazing heat-toxin causing blood stasis， while in the chronic remitting stage， the main pattern is toxic stasis blocking the collaterals with qi and yin deficiency. Clinical treatment follows the basic principle that treat with salty-cold herbs， when heat invades internally and that assist with acrid-dispersing herbs when stasis obstructs the collaterals. The self-formulated Yimian Decoction （抑免汤） serves as the base formula and is applied in stages. During the acute active stage， it is often combined with herbs for clearing heat and detoxifying， cooling blood and resolving stasis， and unblocking the collaterals. In the chronic remitting stage， it is often combined with herbs for activating blood circulation and unblocking the collaterals， as well as tonifying qi and nourishing yin.

OBJECTIVE To investigate the protective effect and mechanism of saikosaponin C （SSC） on acute liver injury （ALI） in mice induced by carbon tetrachloride （CCl4） based on serum metabolomics. METHODS Forty mice were divided into blank group （water）， model group （water）， positive control drug group （Biphenyl diester drop pills， 150 mg/kg）， and SSC low- and high-dose groups （2.5， 10 mg/kg） using the random number table method， with 8 mice in each group. They were given water/ relevant drugs， once a day， for 7 consecutive days. One hour after the last administration， all mice were intraperitoneally injected with 0.2% CCl4 olive oil to induce ALI model， except for the blank group. After 17 hours of the modeling， the liver index of mice was calculated. The levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， lactate dehydrogenase （LDH）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and IL-1β in serum of mice were detected. The histopathological changes of liver tissue were observed. Meanwhile， the serum metabolomics of mice were analyzed by liquid chromatography-mass spectrometry. RESULTS Compared with the blank group， the levels of liver index， ALT， AST， LDH， TNF-α， IL-6， and IL-1β in the model group were significantly increased （P＜0.01）. Hepatocytes were edema， vacuolar degeneration， more necrosis， and a large number of inflammatory cells were infiltrated. Compared with the model group， liver index and serum index levels of mice were significantly decreased （P＜0.05 or P＜0.01）， accompanied by marked improvement in histopathological damage to the liver tissue. The metabolomics results showed that compared with the model group， there were 63 up-regulated and 256 down-regulated differential metabolites in the serum of mice in the SSC high-dose group， including prostaglandin B2， 20-hydroxy-leukotriene B4， 5- hydroxy-L-tryptophan， 7α -hydroxycholesterol， etc.； these metabolites were primarily involved in metabolic pathways such as arachidonic acid metabolism， 5-hydroxytryptamine synapse， primary bile acid biosynthesis. CONCLUSIONS SSC exerts a protective effect against CCl4-induced ALI by down-regulating the level of key metabolites such as prostaglandin B2 and 20-hydroxy-leukotriene B4， and then ruducing metabolic pathways such as arachidonic acid metabolism， 5- hydroxytryptamine synapse， and primary bile acid biosynthesis.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Beijing Children's Hospital affiliated to the Capital Medical University set up a three-tiered system for hemophilia and explore solutions for local and remote referral modes.Through the establishment of electronic database,improving drug management,assisting medical insurance reimbursement and other auxiliary measures,it smooths the two-way referral path of children with hemophilia.It can rationally allocate medical resources,promote the development of local professional medical ability,make rational use of rare disease drugs,improve the efficiency of medical insurance funds,strengthen the service capability of children with rare diseases through the joint reform of three medical systems,and ensure the treatment of difficult and severe child patients,improve the accessibility of high-quality diagnosis and treatment,effectively reduce the financial burden of patients.

Objective:To explore the clinical effectiveness of a self-designed robot reduction system for femoral intertrochanteric fractures.Methods:A retrospective study was conducted to analyze the 57 patients with intertrochanteric fracture who had been treated at Department of Orthopedics, The Fourth Affiliated Central Hospital of Tianjin Medical University from June 2022 to February 2023. The patients were divided into a robot group (using the self-designed robot reduction system to assist intramedullary nailing) and a traction bed group (using a traction bed to assist intramedullary nailing) based on their fracture reduction method. The robot group: 31 patients, 11 males and 20 females, with an age of (78.7±9.3) years; 16 left and 15 right sides; 17 cases of type 31-A1, 12 cases of type 31-A2 and 2 cases of type 31-A3 by the AO/OTA classification. The traction bed group: 26 patients, 12 males and 14 females, with an age of (78.7±7.7) years; 13 left and 13 right sides; 16 cases of type 31-A1, 9 cases of type 31-A2 and 1 cases of type 31-A3 by the AO/OTA classification. The 2 groups were compared in terms of reduction and operation time, intraoperative blood loss, fluoroscopy frequency, reduction quality, and VAS and Harris score at preoperation, 1 week and 6 months postoperation.Results:The 2 groups were comparable due to insignificant differences in their preoperative general data ( P>0.05). The robot group was significantly better than the traction bed group in reduction time [(4.4±2.2) min versus (9.4±3.2) min], operation time [(29.0±13.5) min versus (49.3±13.3) min], intraoperative blood loss [(76.5±30.5) mL versus (115.0±38.4) mL], fluoroscopy frequency [(10.2±2.6) times versus (14.8±3.2) times], and good/excellent rate of reduction [80.6% (25/31) versus 50.0% (13/26)] ( P<0.05). All patients were followed up for (6.8±0.3) months. Respectively, the VAS scores at preoperation and 6 months postoperation was (6.2±1.3) and (2.4±0.8) points for the robot group, and (6.3±1.3) and (2.7±0.8) points for the traction bed group, showing no statistically significant differences between the 2 groups ( P>0.05). However, the VAS score was (3.3±1.2) points for the robotic group and (4.8±1.5) points for the traction bed group at 1 week postoperation, showing a statistically significant difference between the 2 groups ( P<0.001). Respectively, the Harris scores at preoperation and 6 months postoperation were (35.3±3.0) and (88.7±3.4) points for the robot group, and (35.6±2.9) and (87.2±3.5) points for the traction bed group, showing no statistically significant differences between the 2 groups ( P>0.05). However, the Harris score was (57.3±3.7) points for the robotic group and (46.7±2.8) points for the traction bed group at 1 week postoperation, showing a statistically significant difference between the 2 groups ( P<0.05). The patient satisfaction rates in the robot and traction bed groups were 96.8% (30/31) and 92.3% (24/26), respectively, showing no statistically significant difference ( P>0.05). Conclusion:Our self-designed robot reduction for femoral intertrochanteric fractures can effectively shorten reduction and operation time, reduce bleeding and fluoroscopy frequency, and enhance anatomical reduction.

[Objective]To investigate the genetic polymorphism of 42 short tandem repeats(STRs),including 41 non-CODIS loci from the Shenzhen Han population and evaluate their potential values in forensic application.[Methods]In our research,the AGCU 21+1 STR kit and Microreader? 23sp Direct ID System were applied to analyze the polymorphism of STR loci from 435 unrelated individuals of Shenzhen Han population.Modified-Powerstates and Arlequin v3.5 software were used to analyze the allele frequencies and forensic parameters,and perform the Hardy-Weinberg equilibrium test.[Results]A total of 418 alleles were detected from 435 unrelated individuals in Shenzhen,all consistent with Hardy-Weinberg equilibrium(P>0.05/42),with the allele frequency ranging from 0.001 1 to 0.552 9.Besides,the discrimination power(DP)ranged from 0.798 8(D1S1627)to 0.968 6(D7S3048),the polymorphic information content(PIC)ranged from 0.568 0(D1S1627)to 0.859 8(D7S3048),and the heterozygosity(H)ranged from 0.627 6(D1S1627)to 0.878 2(D20S470).Among all the STRs tested in the study,both D1S1656 and D21S1270 have 16 alleles and show the highest polymorphism.In comparison,only five alleles were observed in the D4S2408 locus,which displays the least polymorphism.[Conclusions]The 42 autosomal STR loci with high genetic polymorphism in Shenzhen Han population showed potential as an effective means for individual identification and paternity testing,especially in the cases with single parent or mutation detected.The obtained information can provide basic data for STR population genetics.

Objective To explore the expression level of visceral adipose tissue-derived serine protease inhibitor(Vaspin)and secreted frizzled-related protein5(SFRP5)in the serum of children with idiopathic short stature(ISS)and its diagnostic value.Methods 70 children with ISS diagnosed in the First Hospital of Zhangjiakou from December 2021 to February 2023 were selected as the disease group,while 72 healthy volunteer children who underwent physical examination were collected as the control group.Immunoluminescence was applied to detect the expression level of VASPIN,Enzyme-linked immunosorbent assay(ELISA)was applied to detect the expression level of SFRP5 the clinical data of children in two groups were analyzed.Receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of serum Vaspin and SFRP5 for ISS,multivariate Logistic regression was used to analyze the influencing factors of ISS.Results Compared with the control group,the serum Vaspin level in the disease group was obviously increased(2.89±0.92 ng/ml vs 1.81±0.42 ng/ml),while the SFRP5 level was obviously reduced(10.22±2.84 pg/ml vs 13.21±3.53 pg/ml),the differences were statistically significant(t=9.040,5.552,all P＜0.05).The weight,height,body mass index(BMI)and proportion of sexual development stage II～V of children in the disease group were obviously lower than those in the control group,and the differences were statistically significant(t=7.687,6.330,5.559,7.024,all P＜0.05).The area under ROC curve showed that the AUC of Vaspin and SFRP5 and their combined detection in the diagnosis of ISS were 0.768,0.849 and 0.925,respectively,the combined diagnosis efficacy of Vaspin and SFRP5 was better than that of serum Vaspin and SFRP5 alone(Z =3.829,P＜0.001;Z =2.141,P=0.032).Multivariate Logistic regression analysis showed that BMI(OR=0.508,95%CI:0.260～0.991),Vaspin(OR=3.458,95%CI:1.125～10.631)and SFRP5(OR=0.378,95%CI:0.153～0.935)were the influencing factors for ISS(all P＜0.05).Conclusion The expression level of Vaspin in the serum of children with ISS is obviously increased,while the expression level of SFRP5 is obviously reduced.The two are influencing factors of ISS,and the combined detection of their expression levels has certain value in the diagnosis of ISS.

Diabetes mellitus(DM)is an endocrine metabolic disease mainly characterized by chronic hyperglycemia,which seriously threatens the health and quality of life of human beings,and with the improvement of living standard and unhealthy lifestyle in China,the incidence of DM continues to rise and tends to be younger,so it is urgent to carry out in-depth research on hypoglycemic treatment.DM is pathologically based on absolute or relative insulin deficiency,and there is no radical cure for it,and Western medicine mostly adopts insulin injection or oral hypoglycemic drugs for symptomatic treatment,which is effective but prone to toxic side effects in long-term use.Chinese medicine has the advantages of multi-path and multi-target in treating DM,and plays a role in lowering blood sugar by promoting insulin secretion,improving insulin resistance,regulating glucolipid metabolism and anti-oxidative stress,etc.Its efficacy is remarkable and the rate of toxic side effects is low.In recent years,there have been more studies on the mechanism of action of traditional Chinese medicine and compound prescriptions on animal models of DM.By reviewing the relevant literature in recent years,the author has systematically sorted out the mechanism of hypoglycemic action of single Chinese medicine,traditional Chinese medicine compound prescriptions,effective components of traditional Chinese medicine and their related experimental designs,from promoting insulin secretion,inhibiting gluconeogenesis,promoting glycogen synthesis,improving insulin resistance,inhibiting glycosidase activity,alleviating oxidative stress damage,inhibiting inflammatory response and regulating intestinal stress.The study and experimental design of the hypoglycemic mechanism of Chinese medicine were summarized in terms of promoting insulin secretion,inhibiting gluconeogenesis,promoting glycogen synthesis,improving insulin resistance,inhibiting glucosidase activity,alleviating oxidative stress damage,inhibiting inflammatory response and regulating intestinal flora,etc.,with a view to providing reference for the wider clinical application of Chinese medicine in hypoglycemia and its in-depth pharmacodynamic study.

Tongue diagnosis is an important method of TCM diagnosis and treatment.Tongue is the key link of auxiliary diagnosis of tongue feature extraction and processing,and also is the bottleneck of intelligent tongue diagnosis in traditional Chinese medicine.Using image processing,artificial intelligence technology to the tongue as a quantitative and identify characteristics of traditional Chinese medicine,looking for both conforms to the original thinking of TCM,and TCM tongue diagnosis method of accurately,has become a common concern of traditional Chinese medicine and computer field.From the mobile terminal tongue as auxiliary diagnostic system of traditional Chinese medicine tongue acquisition basic attribute,tongue diagnosis and image information building,tongue like features are required for accurate extraction and so on related key technology is analyzed,and build overall architecture,so as to provide technical reference for the tongue like intelligent diagnosis,promote the development of technology of tongue diagnosis in traditional Chinese medicine modernization.